Selective Fairness in Recommendation via Prompts

Yiqing Wu, Ruobing Xie, Yongchun Zhu +5

Recommendation fairness has attracted great attention recently. In real-world systems, users usually have multiple sensitive attributes (e.g. age, gender, and occupation), and user…